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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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BrainStars Resource Report Resource Website 10+ mentions |
BrainStars (RRID:SCR_005810) | B* | data access protocol, data or information resource, database, software resource, web service | BrainStars (or B*) is a quantitative expression database of the adult mouse brain. The database has genome-wide expression profile at 51 adult mouse CNS regions. For 51 CNS regions, slices (0.5-mm thick) of mouse brain were cut on a Mouse Brain Matrix, frozen, and the specific regions were punched out bilaterally with a microdissecting needle (gauge 0.5 mm) under a stereomicroscope. For each region, we took samples every 4 hours, starting at ZT0 (Zeitgaber time 0; the time of lights on), for 24 hours (6 time-point samples for each region), and we pooled the samples from the different time points. We independently sampled each region twice (n=2). These samples were purified their RNA, and measured with Affymetrix GeneChip Mouse Genome 430 2.0 arrays. Expression values were then summarized with the RMA method. After several analysis with the expression data, the data and analysis results were stored in the BrainStars database. The database has a REST-like Web API interface for accessing from your Web applications. This document shows how to access the database via our Web API. | mouse, brain, adult, expression profile, affymetrix genechip mouse genome 430 2.0 array, rna, central nervous system, gene expression, gene |
is related to: Allen Mouse Brain Reference Atlas is related to: Allen Institute for Brain Science has parent organization: RIKEN has parent organization: Kindai University School of Medicine; Osaka; Japan |
Japanese Ministry of Education Culture Sports Science and Technology MEXT | PMID:21858037 | BrainStars data, Images and texts (excluding ABA data and images) are licensed under a Creative Commons Attribution 2.1 Japan License. | nlx_149301 | SCR_005810 | BrainStars Database, BrainStars (B*) | 2026-02-17 10:00:39 | 14 | |||||
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GARBAN Resource Report Resource Website |
GARBAN (RRID:SCR_005778) | GARBAN | production service resource, analysis service resource, source code, service resource, software resource, data analysis service | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 12, 2012. GARBAN is a tool for analysis and rapid functional annotation of data arising from cDNA microarrays and proteomics techniques. GARBAN has been implemented with bioinformatic tools to rapidly compare, classify, and graphically represent multiple sets of data (genes/ESTs, or proteins), with the specific aim of facilitating the identification of molecular markers in pathological and pharmacological studies. GARBAN has links to the major genomic and proteomic databases (Ensembl, GeneBank, UniProt Knowledgebase, InterPro, etc.), and follows the criteria of the Gene Ontology Consortium (GO) for ontological classifications. Source may be shared: e-mail garban (at) ceit.es. Platform: Online tool | cdna microarray, proteomics, cdna, microarray, statistical analysis, gene, est, protein, genomic, gene ontology |
is listed by: Gene Ontology Tools is related to: Gene Ontology |
PMID:14594726 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149247 | http://garban.tecnun.es | SCR_005778 | Genomic Analysis and Rapid Biological ANnotation, University of Navarra; Pamplona; Spain | 2026-02-17 10:00:57 | 0 | |||||
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FunCluster Resource Report Resource Website 1+ mentions |
FunCluster (RRID:SCR_005774) | FunCluster | data analysis software, software application, data processing software, software resource | FunCluster is a genomic data analysis algorithm which performs functional analysis of gene expression data obtained from cDNA microarray experiments. Besides automated functional annotation of gene expression data, FunCluster functional analysis aims to detect co-regulated biological processes through a specially designed clustering procedure involving biological annotations and gene expression data. FunCluster''''s functional analysis relies on Gene Ontology and KEGG annotations and is currently available for three organisms: Homo Sapiens, Mus Musculus and Saccharomyces Cerevisiae. FunCluster is provided as a standalone R package, which can be run on any operating system for which an R environment implementation is available (Windows, Mac OS, various flavors of Linux and Unix). Download it from the FunCluster website, or from the worldwide mirrors of CRAN. FunCluster is provided freely under the GNU General Public License 2.0. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | genomic, gene, functional analysis, gene expression, cdna microarray, cdna, microarray, function, cluster, annotation, biological process, statistical analysis, bio.tools |
is listed by: Gene Ontology Tools is listed by: bio.tools is listed by: Debian is related to: Gene Ontology has parent organization: Cordelier Research Center |
PMID:17007070 PMID:16506959 PMID:16046292 |
Free for academic use, GNU General Public License, v2 | nlx_149242, biotools:funcluster | https://bio.tools/funcluster | SCR_005774 | FunCluster R Package, FunCluster Algorithm | 2026-02-17 10:00:39 | 2 | |||||
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GREAT: Genomic Regions Enrichment of Annotations Tool Resource Report Resource Website 50+ mentions |
GREAT: Genomic Regions Enrichment of Annotations Tool (RRID:SCR_005807) | GREAT | production service resource, analysis service resource, source code, service resource, software resource, data analysis service | Data analysis service that predicts functions of cis-regulatory regions identified by localized measurements of DNA binding events across an entire genome. Whereas previous methods took into account only binding proximal to genes, GREAT is able to properly incorporate distal binding sites and control for false positives using a binomial test over the input genomic regions. GREAT incorporates annotations from 20 ontologies and is available as a web application. The utility of GREAT extends to data generated for transcription-associated factors, open chromatin, localized epigenomic markers and similar functional data sets, and comparative genomics sets. Platform: Online tool | term enrichment, cis-regulatory region, function, gene, genomic, annotation, ontology, chromatin immunoprecipitation, sequencing, chip-seq, comparative genomics, transcription factor binding |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: PRISM (Stanford database) is related to: Gene Ontology has parent organization: Stanford University School of Medicine; California; USA |
Bio-X ; Howard Hughes Medical Institute ; Stanford University; California; USA ; Packard ; Searle Scholar ; Microsoft Research ; Alfred P. Sloan Foundation ; Edward Mallinckrodt Jr. Foundation ; NIH ; Human Frontier Science Program fellowship LT000896/2009-l; NICHD 1R01HD059862; NHGRI R01HG005058; NSF CCF-0939370; DFG Hi 1423/2-1 |
PMID:20436461 PMID:23814184 |
Free for academic use, Acknowledgement requested | nlx_149295, OMICS_00635 | SCR_005807 | Genomic Regions Enrichment of Annotations Tool (GREAT), Genomic Regions Enrichment of Annotations Tool | 2026-02-17 10:00:49 | 82 | |||||
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GOHyperGAll Resource Report Resource Website 1+ mentions |
GOHyperGAll (RRID:SCR_005766) | GOHyperGAll | data analysis software, software application, data processing software, software resource | To test a sample population of genes for overrepresentation of GO terms, the R/BioC function GOHyperGAll computes for all GO nodes a hypergeometric distribution test and returns the corresponding p-values. A subsequent filter function performs a GO Slim analysis using default or custom GO Slim categories. Basic knowledge about R and BioConductor is required for using this tool. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene, gene ontology, annotation, statistical analysis, slimmer-type tool |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of California at Riverside; California; USA |
PMID:18354039 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149267 | SCR_005766 | 2026-02-17 10:00:57 | 4 | |||||||
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Expression Atlas of the Marmoset Resource Report Resource Website 1+ mentions |
Expression Atlas of the Marmoset (RRID:SCR_005760) | Marmoset Expression Atlas, RIKEN Marmoset Expression Atlas | data or information resource, data set, expression atlas, atlas | Database of gene expression in the marmoset brain.Comparative anatomy of marmoset and mouse cortex from genomic expression. Atlas comparing brain of neonatal marmoset with mouse using in situ hybridization. | gene, marmoset, gene expression, neonatal, brain, in situ hybridization, gene, cortex, thalamus, dorsal nucleus of lateral geniculate body, dlgn, subplate, hippocampus, primary somatosensory cortex, btbd3, cdh6, cdh8, cplx3, ctgf, epha4, epha5, epha6, epha7, efna5, er81, foxp2, gfralpha1, kitl, lhx9, nr1d1, nr4a2, ntng2, relin, roralpha, satb2, sema6a, tbr1, tcf7l2, zic1, zic4, genomic expression |
is used by: NIF Data Federation has parent organization: RIKEN Brain Science Institute |
RIKEN Brain Science Institute ; Japanese Ministry of Education Culture Sports Science and Technology MEXT ; Funding Program for World-Leading Innovative RD on Science and Technology |
PMID:22496550 | nlx_149225 | http://mmtd.brain.riken.jp/P0marmoset/ | SCR_005760 | Marmoset Gene List, Comparative Anatomy of Marmoset and Mouse Cortex from Genomic Expression, Comparative Anatomy of Marmoset Mouse Cortex from Genomic Expression | 2026-02-17 10:00:56 | 1 | |||||
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Roth Laboratory Resource Report Resource Website 1+ mentions |
Roth Laboratory (RRID:SCR_005711) | Roth Lab | organization portal, data or information resource, software resource, portal, laboratory portal | The Roth Laboratory is designing and interpreting large-scale experiments to understand pathway structure and its relationship to phenotype and human disease. Software for research focused on a specific research goal is available. Current experimental interests: * Exploiting parallel sequencing technology to phenotype all pairwise gene deletion combinations in S. cerevisiae, with initial application to genes involved in transcription. * Generation of S. cerevisiae strains carrying dozens of chosen targeted deletions, with initial application to delete all ABC transporters imparting multidrug resistance. * Targeted insertion of gene sets encoding entire human pathways into S. cerevisiae, with initial application to genes involved in drug metabolism. Current computational interests: * Systematic analysis of genetic interaction to reveal redundant systems and order of action in genetic pathways * Integrating large-scale studies - including phenotype, genetic epistasis, protein-protein and transcription-regulatory interactions and sequence patterns - to quantitatively assign function to genes and guide experimentation and disease association studies. * Alternative splicing and its relationship to protein interaction networks. | gene, pathway, phenotype, disease, transcription, drug metabolism, drug, metabolism, protein-protein interaction, transcription-regulatory interaction, protein interaction, protein |
has parent organization: University of Toronto; Ontario; Canada has parent organization: Harvard Medical School; Massachusetts; USA is parent organization of: FuncAssociate: The Gene Set Functionator |
nlx_149163 | http://llama.med.harvard.edu | SCR_005711 | 2026-02-17 10:00:37 | 5 | ||||||||
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GUMC Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab Resource Report Resource Website |
GUMC Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab (RRID:SCR_005708) | GUMC Liu Lab | data or information resource, portal, laboratory portal, organization portal | THIS RESOURCE IS NO LONGER IN SERVCE, documented September 2, 2016. | microarray, data mining, natural language processing, biomedical, ontology, biomedicine, data analysis, dna microarray, gene | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149157 | SCR_005708 | Georgetown University Medical Center Department of Biostatistics Bioinformatics and Biomathematics - Liu Lab, Georgetown University Medical Center Liu Lab, GUMC Department of Biostatistics Bioinformatics Biomathematics - Liu Lab | 2026-02-17 10:00:58 | 0 | ||||||||
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GeneMANIA Resource Report Resource Website 1000+ mentions |
GeneMANIA (RRID:SCR_005709) | GeneMANIA | data or information resource, production service resource, analysis service resource, database, service resource, software resource, data analysis service | Data analysis service to predict the function of your favorite genes and gene sets. Indexing 1,421 association networks containing 266,984,699 interactions mapped to 155,238 genes from 7 organisms. GeneMANIA interaction networks are available for download in plain text format. GeneMANIA finds other genes that are related to a set of input genes, using a very large set of functional association data. Association data include protein and genetic interactions, pathways, co-expression, co-localization and protein domain similarity. You can use GeneMANIA to find new members of a pathway or complex, find additional genes you may have missed in your screen or find new genes with a specific function, such as protein kinases. Your question is defined by the set of genes you input. If members of your gene list make up a protein complex, GeneMANIA will return more potential members of the protein complex. If you enter a gene list, GeneMANIA will return connections between your genes, within the selected datasets. GeneMANIA suggests annotations for genes based on Gene Ontology term enrichment of highly interacting genes with the gene of interest. GeneMANIA is also a gene recommendation system. GeneMANIA is also accessible via a Cytoscape plugin, designed for power users. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, association data, protein interaction, genetic interaction, pathway, co-expression, co-localization, protein, software library, statistical analysis, term enrichment, analysis, browser, gene ontology, gene predicting, gene prioritization, database or data warehouse, other analysis, interaction browser, protein-protein interaction, interaction, FASEB list |
is listed by: Gene Ontology Tools is related to: Cytoscape is related to: Gene Ontology is related to: PSICQUIC Registry has parent organization: University of Toronto; Ontario; Canada |
Genome Canada ; Ontario Ministry of Research and Innovation 2007-OGI-TD-05 |
PMID:20576703 PMID:18613948 PMID:20926419 |
Open unspecified license, Free for academic use | nlx_149159, r3d100013978 | https://doi.org/10.17616/R31NJNA2 | SCR_005709 | 2026-02-17 10:00:48 | 3358 | |||||
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Whatizit Resource Report Resource Website 1+ mentions |
Whatizit (RRID:SCR_005824) | Whatizit | data access protocol, production service resource, analysis service resource, service resource, software resource, web service, data analysis service | A text processing system that allows you to do textmining tasks on text. It is great at identifying molecular biology terms and linking them to publicly available databases. Whatizit is also a Medline abstracts retrieval/search engine. Instead of providing the text by Copy&Paste, you can launch a Medline search. The abstracts that match your search criteria are retrieved and processed by a pipeline of your choice. Whatizit is also available as 1) a webservice and as 2) a streamed servlet. The webservice allows you to enrich content within your website in a similar way as in the wikipedia. The streamed servlet allows you to process large amounts of text. | textual analysis, protein, gene, gene ontology, text-mining, annotation, literature analysis |
is listed by: Gene Ontology Tools is listed by: OMICtools is related to: Gene Ontology is related to: UniProt is related to: MEDLINE is related to: NCBI Taxonomy has parent organization: European Bioinformatics Institute |
Free for academic use | OMICS_01200, nlx_149329 | http://www.ebi.ac.uk/webservices/whatizit | SCR_005824 | 2026-02-17 10:01:01 | 8 | |||||||
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UM-BBD Resource Report Resource Website 1+ mentions |
UM-BBD (RRID:SCR_005787) | UM-BBD, UM-BBD enzymeID, UM-BBD pathwayID, UM-BBD reactionID, UM-BBD ruleID | data or information resource, production service resource, analysis service resource, database, service resource, data analysis service, data set | THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 27, 2014. Database containing information on microbial biocatalytic reactions and biodegradation pathways for primarily xenobiotic, chemical compounds. Its goal is to provide information on microbial enzyme-catalyzed reactions that are important for biotechnology. The reactions covered are studied for basic understanding of nature, biocatalysis leading to specialty chemical manufacture, and biodegradation of environmental pollutants. Individual reactions and metabolic pathways are presented with information on the starting and intermediate chemical compounds, the organisms that transform the compounds, the enzymes, and the genes. The present database has been successfully used to teach enzymology and use of biochemical Internet information resources to advanced undergraduate and graduate students, and is being expanded primarily with the help of such students. In addition to reactions and pathways, this database also contains Biochemical Periodic Tables and a Pathway Prediction System. * Search the UM-BBD for compound, enzyme, microorganism, pathway, or BT rule name; chemical formula; chemical structure; CAS Registry Number; or EC code. * Go to Pathways and Metapathways in the UM-BBD * Lists of 203 pathways; 1400 reactions; 1296 compounds; 916 enzymes; 510 microorganism entries; 245 biotransformation rules; 50 organic functional groups; 76 reactions of naphthalene 1,2-dioxygenase; 109 reactions of toluene dioxygenase; Graphical UM-BBD Overview; and Other Graphics (Metapathway and Pathway Maps and Reaction Mechanisms). | enzyme, biocatalysis, biodegredation, chemical, pathway, reaction, microorganism, image, chemical compound, gene, enzymology | has parent organization: University of Minnesota Twin Cities; Minnesota; USA | Minnesota Supercomputing Institute ; Lhasa Limited ; University of Minnesota; Minnesota; USA ; European Union FP6 ALARM project ; NIH ; NSF 0543416; DOE DE-FG02-01ER63268; NIGMS R01GM56529; NSF 9630427 |
PMID:19767608 PMID:16381924 PMID:12519997 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-03607, r3d100011317 | https://doi.org/10.17616/R33D0V | SCR_005787 | UM-BBD pathwayID, University of Minnesota Biocatalysis and Biodegradation Database, UM-BBD reactionID, Biocatalysis/Biodegradation Database, University of Minnesota Biocatalysis/Biodegradation Database, UM-BBD ruleID, Univeristy of Minnesota Biocatalysis/Biodegradation Database, UM-BBD enzymeID | 2026-02-17 10:00:57 | 9 | ||||
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DiseaseMeth Resource Report Resource Website 10+ mentions |
DiseaseMeth (RRID:SCR_005942) | storage service resource, data or information resource, database, service resource, data repository | Human disease methylation database. DiseaseMeth version 2.0 is focused on aberrant methylomes of human diseases. Used for understanding of DNA methylation driven human diseases. | disease, methylation, dna methylation, genome, gene, epigenetics, epigenomics, methylome, bio.tools |
is listed by: 3DVC is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Harbin Medical University; Heilongjiang; China |
National Natural Science Foundation of China ; Natural Science Foundation of Heilongjiang Province ; State Key Laboratory of Urban Water Resource and Environment ; Scientific Research Fund of Heilongjiang Provincial Education Department |
PMID:22135302 PMID:27899673 |
Free,Freely available | OMICS_01838, nlx_151289, biotools:diseasemeth, SCR_017488 | http://bioinfo.hrbmu.edu.cn/diseasemeth https://bio.tools/diseasemeth |
http://202.97.205.78/diseasemeth/ | SCR_005942 | , Disease Meth-The Human Disease Methylation Database, DiseaseMeth database, DiseaseMeth version 2.0 | 2026-02-17 10:00:50 | 34 | ||||
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DistiLD - Diseases and Traits in LD Resource Report Resource Website 1+ mentions |
DistiLD - Diseases and Traits in LD (RRID:SCR_005943) | DistiLD | data or information resource, production service resource, analysis service resource, database, service resource, data analysis service | The DistiLD database aims to increase the usage of existing genome-wide association studies (GWAS) results by making it easy to query and visualize disease-associated SNPs and genes in their chromosomal context. The database performs three important tasks: # published GWAS are collected from several sources and linked to standardized, international disease codes ICD10 codes) # data from the International HapMap Project are analyzed to define linkage disequilibrium (LD) blocks onto which SNPs and genes are mapped # the web interface makes it easy to query and visualize disease-associated SNPs and genes within LD blocks. Users can query the database by diseases, SNPs or genes. No matter which of the three query modes was used, an intermediate page will be shown listing all the studies that matched the search with a link to the corresponding publication. The user can select either all studies related to a certain disease or one specific study for which to view the related LD blocks. The DistiLD resource integrates information on: * Associations between Single Nucleotide Polymorphisms (SNPs) and diseases from genome-wide association studies (GWAS) * Links between SNPs and genes based on linkage disequilibrium (LD) data from HapMap For convenience, we provide the complete datasets as two (zipped) tab-delimited files. The first file contains GWAS results mapped to LD blocks. The second file contains all SNPs and genes assigned to each LD block. | disease, mutation, gene, linkage disequilibrium, trait, genome-wide association study, single nucleotide polymorphism, chromosomal region, chromosome, linkage disequilibrium block, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: International HapMap Project has parent organization: University of Copenhagen; Copenhagen; Denmark |
Novo Nordisk Foundation Center for Protein Research | PMID:22058129 | Files are published under the Creative Commons Attribution v3 License | biotools:distild, nlx_151291 | https://bio.tools/distild | SCR_005943 | DistiLD - Diseases & Traits in LD, Diseases and Traits In Linkage Disequilibrium blocks, Diseases and Traits In Linkage Disequilibrium, DistiLD Database, DistiLD - Diseases Traits in LD | 2026-02-17 10:00:58 | 5 | ||||
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KI Biobank Resource Report Resource Website |
KI Biobank (RRID:SCR_005664) | KI Biobank - Gallstone | biomaterial supply resource, material resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 29, 2016. KI Biobank - Gallstone aims at investigating genetics of gallstone disease on Swedish Twins. Types of samples * EDTA whole blood * DNA * Plasma Number of sample donors: 82 | gene, genetics |
is listed by: One Mind Biospecimen Bank Listing is related to: Swedish Twin Registry has parent organization: Karolisnka Biobank |
Gallstone disease, Twin | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151297, nlx_151300, SCR_005796 | https://www.researchgate.net/publication/246710484_Gallstone_disease_in_Swedish_twins_is_linked_to_ABCG8_D19H_risk_genotype | SCR_005664 | KI Biobank - Gallstone, KI Biobank - KTS | 2026-02-17 10:00:57 | 0 | |||||
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DBD - Slim Gene Ontology Resource Report Resource Website |
DBD - Slim Gene Ontology (RRID:SCR_005728) | Slim Gene Ontology | data or information resource, software application, database, software resource | Db for Dummies! is a small database that imports the Generic GO Slim. It allows data to be viewed in a tree. The Gene Ontology describes gene products in terms of their associated biological processes, cellular components and molecular functions. The Generic Slim Gene Ontology is a subset of the whole Gene Ontology. The slim version gives a broad overview and leaves out specific/fine grained terms. This example stores the slim version of the Gene Ontology (goslim_generic_obo) that can be downloaded from www.geneontology.org/GO.slims.shtml. Platform: Windows compatible | gene ontology, gene, hierarchy, visualization, database or data warehouse |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Db for Dummies! |
Free for academic use | nlx_149185 | SCR_005728 | Db for Dummies! - Slim Gene Ontology, Db for Dummies - Slim Gene Ontology | 2026-02-17 10:00:48 | 0 | |||||||
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Onto-Translate Resource Report Resource Website 1+ mentions |
Onto-Translate (RRID:SCR_005725) | Onto-Translate | data or information resource, production service resource, analysis service resource, database, service resource, data analysis service | In the annotation world, the same piece of information can be stored and viewed differently across different databases. For instance, more than one Affymetrix probe ID can refer to the same GenBank sequence (accession number) and more than one nucleotide sequence from GenBank can be grouped in a single UniGene cluster. The result of Onto-Express depends on whether the input list contains Affymetrix probe IDs, GenBank accession numbers or UniGene cluster IDs. The user has to be aware of relations between the different forms of the data in order to interpret correctly the results. Even if the user is aware of the relationships and knows how to convert them, most existing tools allow conversions of individual genes. Onto-Translate is a tool that allows the user to perform easily such translations. Affymetrix probe IDs, etc., translate GO terms into other identifiers like GenBank accession number, Uniprot IDs. User account required. Platform: Online tool | annotation, gene, analysis, database or data warehouse, other analysis, affymetrix probe id, affymetrix, probe id, translate go terms into other identifiers like genbank accession number, genbank accession number, uniprot id, gene ontology, translate |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:15215428 | Free for academic use | nlx_149182 | SCR_005725 | 2026-02-17 10:00:56 | 3 | |||||||
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TAIR Keyword Browser Resource Report Resource Website 10+ mentions |
TAIR Keyword Browser (RRID:SCR_005687) | TAIR Keyword Browser | data or information resource, production service resource, analysis service resource, database, service resource, data analysis service | TAIR Keyword Browser searches and browses for Gene Ontology, TAIR Anatomy, and TAIR Developmental stage terms, and allows you to view term details and relationships among terms. It includes links to genes, publications, microarray experiments and annotations associated with the term or any children terms. Platform: Online tool | gene ontology, gene, publication, microarray, annotation, cellular component, biological process, molecular function, plant, growth, development, stage, anatomical entity, anatomy, ontology, browser, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: TAIR |
Free for academic use | nlx_149132 | http://www.arabidopsis.org/servlets/Search?action=new_search&type=keyword | SCR_005687 | TAIR Keyword Search and Browse, The Arabidopsis Information Resource Keyword Browser | 2026-02-17 10:00:37 | 37 | ||||||
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GOTaxExplorer Resource Report Resource Website |
GOTaxExplorer (RRID:SCR_005720) | GOTaxExplorer | data or information resource, production service resource, analysis service resource, database, service resource, software resource, data analysis service | GOTaxExplorer presents a new approach to comparative genomics that integrates functional information and families with the taxonomic classification. It integrates UniProt, Gene Ontology, NCBI Taxonomy, Pfam and SMART in one database. GOTaxExplorer provides four different query types: selection of entity sets, comparison of sets of Pfam families, semantic comparison of sets of GO terms, functional comparison of sets of gene products. This permits to select custom sets of GO terms, families or taxonomic groups. For example, it is possible to compare arbitrarily selected organisms or groups of organisms from the taxonomic tree on the basis of the functionality of their genes. Furthermore, it enables to determine the distribution of specific molecular functions or protein families in the taxonomy. The comparison of sets of GO terms allows to assess the semantic similarity of two different GO terms. The functional comparison of gene products makes it possible to identify functionally equivalent and functionally related gene products from two organisms on the basis of GO annotations and a semantic similarity measure for GO. Platform: Online tool, Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | gene, molecular function, protein family, taxonomy, visualization, functional similarity, semantic similarity, analysis, comparative genomics analysis, comparative genomics, search engine, ontology or annotation search engine, ontology or annotation visualization, database or data warehouse, function, other analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology is related to: UniProt is related to: NCBI Taxonomy is related to: Pfam is related to: SMART is related to: FSST - Functional Similarity Search Tool has parent organization: Max-Planck-Institute for Informatics; Saarbrucken; Germany |
German National Genome Research Network ; BMBF 016R0453; DFG KFO 129/1-1; European Union contract LSHG-CT-2003-503265 |
PMID:17346342 | Free for academic use | nlx_149179 | SCR_005720 | 2026-02-17 10:00:38 | 0 | ||||||
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Onto-Miner Resource Report Resource Website |
Onto-Miner (RRID:SCR_005722) | OM | data or information resource, production service resource, analysis service resource, database, service resource, data analysis service | Onto-Miner (OM) provides a single and convenient interface that allows the user to interrogate our databases regarding annotations of known genes. OM will return all known information about a given list of genes. Advantages of OM include the fact it allows queries with multiple genes and allows for scripting. This is unlike GenBank which uses a single gene navigation process. Scripted search of the Onto-Tools database for gene annotations. User account required. Platform: Online tool | gene, annotation, search engine, database, analysis, ontology or annotation search engine, database or data warehouse, other analysis, scripted search of the onto-tools database for gene annotations |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Wayne State University; Michigan; USA |
PMID:15215428 PMID:17584796 |
Free for academic use | nlx_149181 | SCR_005722 | Onto-Miner (OM) | 2026-02-17 10:00:58 | 0 | ||||||
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GOfetcher Resource Report Resource Website |
GOfetcher (RRID:SCR_005681) | GOfetcher | data or information resource, production service resource, analysis service resource, database, service resource, data analysis service | THIS RESOURCE IS NO LONGER IN SERVICE, documented on June 29, 2012. We developed a web application, GOfetcher, with a very comprehensive search facility for the GO project and a variety of output formats for the results. GOfetcher has three different levels for searching the GO: Quick Search, Advanced Search, and Upload Files for searching. The application includes a unique search option which generates gene information given a nucleotide or protein accession number which can then be used in generating gene ontology information. The output data in GOfetcher can be saved into several different formats; including spreadsheet, comma-separated values, and the Extensible Markup Language (XML) format. Platform: Online tool | gene, nucleotide, protein, ontology, ontology or annotation browser |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Southern Mississippi; Mississippi; USA |
NSF EPS-0556308; U.S. Army ; Environmental Quality Program contract #W912HZ-05-P-0145 |
PMID:18728045 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149124 | http://mcbc.usm.edu/gofetcher/ | SCR_005681 | GOfetcher: a database with complex searching facility for gene ontology | 2026-02-17 10:00:37 | 0 |
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If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
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Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
